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Unstructured Data Management

Graviti data platform

Enterprise-grade unstructured data platform for AI-powered insights at scale

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Category
Software
Ideal For
Enterprises
Deployment
Cloud
Integrations
None+ Apps
Security
Data encryption, access controls, audit logging, compliance-ready architecture
API Access
Yes, comprehensive REST and SDK APIs for seamless integration

About Graviti data platform

Graviti is a cloud-native data platform designed to unlock the potential of unstructured data—images, videos, audio, and documents—at enterprise scale. Founded in 2019, the platform addresses a critical gap in modern data management: traditional tools struggle with the volume, variety, and complexity of unstructured data. Graviti enables organizations to collect, organize, label, and manage unstructured data efficiently, creating a single source of truth for AI and machine learning initiatives. The platform streamlines data annotation workflows, version control, and collaboration across teams, accelerating time-to-insight for advanced analytics and model development. With AiDOOS integration, enterprises gain enhanced governance capabilities, optimized data pipeline orchestration, and scalable infrastructure management. Organizations can deploy Graviti within their existing tech stacks, ensuring seamless data flow and enabling faster deployment of AI-driven applications. The platform's multi-cloud support and flexible architecture make it ideal for enterprises seeking to modernize their data infrastructure while maintaining security and compliance standards.

Challenges It Solves

  • Managing massive volumes of unstructured data without appropriate tools or platforms
  • Inefficient data annotation, labeling, and organization workflows
  • Inability to track data lineage, versions, and metadata at scale
  • Delayed ML and AI initiatives due to data preparation bottlenecks
  • Limited collaboration and governance across distributed data science teams

Proven Results

64
Faster data preparation and model readiness timelines
48
Improved data quality and annotation accuracy rates
35
Reduced infrastructure costs for unstructured data storage

Key Features

Core capabilities at a glance

Intelligent Data Collection & Ingestion

Seamless integration of diverse data sources

Supports images, videos, audio, documents, and sensor data formats

Collaborative Annotation & Labeling

Accelerate data preparation with team workflows

Multi-user annotation with quality control and consistency checks

Version Control & Data Lineage

Track data changes and dependencies across projects

Complete audit trail and reproducible data pipelines

Metadata Management & Tagging

Organize and discover data efficiently

Advanced search and filtering across millions of assets

Multi-Cloud Deployment Options

Flexible infrastructure for enterprise requirements

AWS, Azure, GCP compatibility with hybrid support

ML Model Integration & Feedback Loops

Connect training pipelines directly to data platform

Automated retraining triggers and performance monitoring

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Real-World Use Cases

See how organizations drive results

Computer Vision Model Development
Enterprises building autonomous vehicles, robotics, or vision-based AI systems need organized image and video datasets. Graviti enables efficient collection, annotation, and versioning of visual data for training robust computer vision models.
72
Reduced model training time by 40% through better data
Content Media Management & Processing
Media companies and content creators manage vast libraries of video, audio, and image assets. Graviti provides metadata management, automated tagging, and intelligent search for faster content discovery and repurposing.
58
Improved asset discoverability and reuse efficiency
Document Intelligence & Processing
Financial services, legal firms, and healthcare organizations process thousands of documents daily. Graviti enables document classification, extraction, and analysis at scale for compliance and automation.
64
Reduced manual document processing by 55% cost
Quality Assurance & Data Governance
Large organizations require centralized control over data quality, provenance, and compliance. Graviti provides comprehensive governance, audit trails, and version control for regulated industries.
51
Enhanced compliance and reduced audit preparation time
Real-Time Sensor & IoT Data Management
IoT platforms and smart manufacturing environments generate continuous streams of sensor data. Graviti handles real-time ingestion, organization, and analysis of time-series and streaming unstructured data.
69
Real-time insights from sensor networks deployed

Integrations

Seamlessly connect with your tech ecosystem

A

Amazon SageMaker

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Seamless integration with AWS ML services for model training and deployment

P

PyTorch & TensorFlow

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Direct API connectivity for popular ML frameworks and training pipelines

K

Kubernetes

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Containerized deployment and orchestration for scalable infrastructure

A

Apache Spark

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Big data processing integration for distributed data operations

A

Airflow

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Workflow orchestration for automated data pipeline management

D

Databricks

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Lakehouse integration for unified analytics and ML workloads

G

Git/GitHub

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Version control integration for data and model reproducibility

S

Slack & Microsoft Teams

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Team collaboration notifications and workflow automation

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

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Alternatives & Comparisons

Find the right fit for your needs

Capability Graviti data platform Partium Algforce.ai Engageware
Customization Good Excellent Good Excellent
Ease of Use Good Excellent Excellent Good
Enterprise Features Excellent Excellent Good Excellent
Pricing Fair Fair Fair Good
Integration Ecosystem Good Excellent Good Excellent
Mobile Experience Fair Good Fair Good
AI & Analytics Excellent Excellent Excellent Good
Quick Setup Good Good Excellent Excellent

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Frequently Asked Questions

What types of unstructured data does Graviti support?
Graviti handles images, videos, audio files, documents (PDFs, text), sensor data, and time-series information. The platform is agnostic to data format, making it versatile for diverse enterprise use cases.
How does Graviti integrate with ML frameworks?
Graviti provides REST APIs and Python SDKs that connect directly to TensorFlow, PyTorch, and other ML frameworks. Through AiDOOS, you gain orchestrated data pipelines that feed training workflows automatically.
Can Graviti handle real-time data ingestion?
Yes, Graviti supports streaming data ingestion through APIs and event-driven architectures. It integrates with Apache Kafka and cloud messaging services for continuous data flow.
What compliance standards does Graviti meet?
Graviti's architecture supports GDPR, HIPAA, SOC2, and other regulatory requirements through encryption, audit logging, and data residency options. AiDOOS provides additional governance oversight for enterprise deployments.
How does version control work for unstructured data?
Graviti implements Git-like version control for datasets, enabling teams to track changes, revert to previous versions, and maintain reproducible datasets for model training and compliance audits.
Does Graviti support multi-cloud deployments?
Yes, Graviti is cloud-agnostic and supports AWS, Azure, GCP, and on-premise deployments. AiDOOS enhances multi-cloud orchestration and cost optimization across environments.